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Title The influence of technology on social network analysis and mining / edited by Tansel Ozyer [and others]
Published Vienna ; London : Springer, 2013
Online access available from:
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Description 1 online resource
Series Lecture notes in social networks ; 6
Lecture notes in social networks ; 6
Contents EgoClustering: Overlapping Community Detection via Merged Friendship-Groups / Bradley S. Rees, Keith B. Gallagher -- Optimization Techniques for Multiple Centrality Computations / Christian von der Weth, Klemens Böhm -- Application of Social Network Metrics to a Trust-Aware Collaborative Model for Generating Personalized User Recommendations / Iraklis Varlamis, Magdalini Eirinaki -- TweCoM: Topic and Context Mining from Twitter / Luca Cagliero, Alessandro Fiori -- Pixel-Oriented Network Visualization: Static Visualization of Change in Social Networks / Klaus Stein, René Wegener -- Building Expert Recommenders from Email-Based Personal Social Networks / Verónica Rivera-Pelayo, Simone Braun -- A Local Structure-Based Method for Nodes Clustering: Application to a Large Mobile Phone Social Network / Alina Stoica, Zbigniew Smoreda -- Virus Propagation Modeling in Facebook / Wei Fan, Kai-Hau Yeung -- Comparing and Visualizing the Social Spreading of Products on a Large Social Network / Pål Roe Sundsøy, Johannes Bjelland
Engagingness and Responsiveness Behavior Models on the Enron Email Network and Its Application to Email Reply Order Prediction / Byung-Won On, Ee-Peng Lim, Jing Jiang -- Efficient Extraction of High-Betweenness Vertices from Heterogeneous Networks / Wen Haw Chong, Wei Shan Belinda Toh -- Cross-Domain Analysis of the Blogosphere for Trend Prediction / Patrick Siehndel, Fabian Abel -- Informative Value of Individual and Relational Data Compared Through Business-Oriented Community Detection / Vincent Labatut, Jean-Michel Balasque -- Clustering Social Networks Using Distance-Preserving Subgraphs / Ronald Nussbaum, Abdol-Hossein Esfahanian -- Extraction of Spatio-Temporal Data for Social Networks / Judith Gelernter, Dong Cao -- Detecting Communities in Massive Networks Efficiently with Flexible Resolution / Qi Ye, Bin Wu -- Detecting Emergent Behavior in a Social Network of Agents / Mohammad Moshirpour, Shimaa M. El-Sherif -- Factors Enabling Information Propagation in a Social Network Site / Matteo Magnani, Danilo Montesi, Luca Rossi -- Learning from the Past: An Analysis of Person Name Corrections in the DBLP Collection and Social Network Properties of Affected Entities / Florian Reitz, Oliver Hoffmann
Towards Leader Based Recommendations / Ilham Esslimani, Armelle Brun, Anne Boyer -- Enhancing Child Safety in MMOGs / Lyta Penna, Andrew Clark, George Mohay -- An Adaptive Framework for Discovery and Mining of User Profiles from Social Web-Based Interest Communities / Nima Dokoohaki, Mihhail Matskin -- DB2SNA: An All-in-One Tool for Extraction and Aggregation of Underlying Social Networks from Relational Databases / Rania Soussi, Etienne Cuvelier -- Extending Social Network Analysis with Discourse Analysis: Combining Relational with Interpretive Data / Christine Moser, Peter Groenewegen -- How Latent Class Models Matter to Social Network Analysis and Mining: Exploring the Emergence of Community / Jaime R.S. Fonseca, Romana Xerez -- Integrating Online Social Network Analysis in Personalized Web Search / Omair Shafiq, Tamer N. Jarada -- Evolution of Online Forum Communities / Mikolaj Morzy -- Movie Rating Prediction with Matrix Factorization Algorithm / Ozan B. Fikir, İlker O. Yaz, Tansel Özyer
Summary The study of social networks was originated in social and business communities. In recent years, social network research has advanced significantly; the development of sophisticated techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the online social Web sites, email logs, phone logs and instant messaging systems, which are widely analyzed using graph theory and machine learning techniques. People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution. This has led to a rising prominence of SNAM in academia, politics, homeland security and business. This follows the pattern of known entities of our society that have evolved into networks in which actors are increasingly dependent on their structural embedding General areas of interest to the book include information science and mathematics, communication studies, business and organizational studies, sociology, psychology, anthropology, applied linguistics, biology and medicine
Bibliography Includes bibliographical references
Notes Print version record
Subject Social networks.
Social sciences -- Network analysis.
Data mining.
Social sciences -- Network analysis -- Effect of technological innovations on.
Data mining -- Effect of technological innovations on.
Data Mining.
Social Sciences -- analysis
Social Support.
Form Electronic book
Author Özyer, Tansel.
LC no. 2013933244
ISBN 9783709113462 (electronic bk.)
3709113466 (electronic bk.)